Statistical science

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  Año 2019, Vol. 34, Número 3

  • ROS Regression: Integrating Regularization with Optimal Scaling Regression

    Jacqueline J. Meulman, Anita J. van der Kooij, Kevin L.W. Duisters

    • Resumen

    págs. 361-390

    

  • An Overview of Semiparametric Extensions of Finite Mixture Models

    Sijia Xiang, Weixin Yao, Guangren Yang

    • Resumen

    págs. 391-404

    

  • Lasso Meets Horseshoe: A Survey

    Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson, Brandon T. Willard

    • Resumen

    págs. 405-427

    

  • The Geometry of Continuous Latent Space Models for Network Data

    Anna L. Smith, Dena M. Asta, Catherine A. Calder

    • Resumen

    págs. 428-453

    

  • User-Friendly Covariance Estimation for Heavy-Tailed Distributions

    Yuan Ke, Stanislav Minsker, Zhao Ren, Qiang Sun, Wen-Xin Zhou

    • Resumen

    págs. 454-471

    

  • Conditionally Conjugate Mean-Field Variational Bayes for Logistic Models

    Daniele Durante, Tommaso Rigon

    • Resumen

    págs. 472-485

    

  • Assessing the Causal Effect of Binary Interventions from Observational Panel Data with Few Treated Units

    Pantelis Samartsidis, Shaun R. Seaman, Anne M. Presanis, Matthew Hickman, Daniela De Angelis

    • Resumen

    págs. 486-503

    

  • A Conversation with Peter Diggle

    Peter M. Atkinson (entrev.), Jorge Mateu Mahiques (entrev.), Peter J. Diggle (entrevistado)

    • Resumen

    págs. 504-521